Senior DataOps Engineer (Data & AI)

Location: Cologne, Germany; remote work possible. Up to 20 work-from-home days per year may be arranged anywhere in the EU.

Company

hirify.global is a European e-pharmacy developing digital healthcare services and data-driven solutions.

What you will do

• Design and implement scalable, high-performing data pipelines and optimize data architecture.
• Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies.
• Collaborate across teams to understand data needs and support current and future initiatives.
• Apply CI/CD practices in Data Analytics projects to streamline development and deployment.
• Continuously improve the performance, scalability, and security of data systems.

Requirements

• 5+ years of experience in data engineering, software development, or related fields, including experience ingesting and processing large datasets.
• Hands-on experience with Azure public cloud platforms and working knowledge of Databricks or Apache Spark.
• Experience with Big Data technologies such as Kafka or Flink and SQL for analytics.
• Proficiency in at least one programming language, such as Python, Scala, or Java.
• Working experience with GitHub and DevOps.
• Motivation to work in an innovative environment and learn and apply best practices for cloud-native systems and distributed architecture.

Culture & Benefits

• Comprehensive onboarding program with welcome days.
• Urban Sports Club membership package.
• Free and anonymous mental health support from nilo.
• Flexible work-from-home arrangements, including up to 20 days per year anywhere in the EU.
• Support for individual development through internal and external training.